The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
In this paper we suggest the use of tangible user interfaces (TUIs) for human-robot interaction (HRI) applications. We discuss the potential benefits of this approach while focusi...
This interactive session discusses the quality of recommendations for improving a user interface resulting from a usability evaluation. Problems with the quality of recommendation...
In this paper we explore the interlink between temporally dense view-based object recognition and sparse image representations with local keypoints. The temporal component is an a...